Paper: Sliding Alignment Windows for Real-Time Crowd Captioning

ACL ID P14-2039
Title Sliding Alignment Windows for Real-Time Crowd Captioning
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

The primary way of providing real-time speech to text captioning for hard of hear- ing people is to employ expensive profes- sional stenographers who can type as fast as natural speaking rates. Recent work has shown that a feasible alternative is to com- bine the partial captions of ordinary typ- ists, each of whom is able to type only part of what they hear. In this paper, we extend the state of the art fixed-window alignment algorithm (Naim et al., 2013) for combining the individual captions into a final output sequence. Our method per- forms alignment on a sliding window of the input sequences, drastically reducing both the number of errors and the latency of the system to the end user over the pre- viously published approaches.